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Assignments of my university's course: Machine Learning | 2020-2021

Jupyter Notebook 100.00%
machine-learning statistics rosetta-stone nlp jupyter-notebook natural-language-processing

machine-learning-course's Introduction

Assignments of the Machine Learning course

This repository, contains assignments that I handed over to my professor, for the purpose of the course.

About ๐Ÿ“

  • In the Rosetta Stone of Human Capital assignment, I explored the relationship between many variables, which they were produced by combining various files. On the way through of our analysis, there are also diagrams accompanying the results.
  • The assignment Greek Parliament Proceedings, is related with speeches pronounced by members of the Greek Parliament. The goal of the assignment, was to create models that classify in which political party the speaker belongs, by his speech. I carried out 3 classifications: 1 with Neural Network algorithm, and 2 with non-Neural.
  • Both notebooks, provide detailed explanation of the procedure I followed, and their conclusions.

Running โšก๏ธ

In case you want to run the notebooks by your own, you will need to download Jupyter Notebook from here.

I thank ๐Ÿ”ฅ

my professor, Panos Louridas for this awesome course.

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